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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2
Consensus-Based Table Form Recognition
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
Heath E. Nielson, Brigham Young University
William A. Barrett, Brigham Young University
Zoning documents increases the resolution of indexing from the image level to the field level. A line-delimited tabular document forms a well defined series of regions. However, as image quality decreases, accurate zoning becomes increasingly difficult. Given a sequence of documents with the same layout, we present a robust zoning method which exploits both intra- and inter-document consensus to form a more accurate combined result (template) that can be applied to any other document with the same layout.
Citation:
Heath E. Nielson, William A. Barrett, "Consensus-Based Table Form Recognition," icdar, vol. 2, pp.906, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
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